SOTAVerified

Meta-Learning

Meta-learning is a methodology considered with "learning to learn" machine learning algorithms.

( Image credit: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3201–3250 of 3569 papers

TitleStatusHype
TGG: Transferable Graph Generation for Zero-shot and Few-shot LearningCode0
Exploring Domain Shift in Extractive Text Summarization—0
Meta-Learning with Warped Gradient DescentCode0
Deep Learning Theory Review: An Optimal Control and Dynamical Systems PerspectiveCode0
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks—0
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning—0
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms—0
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises—0
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal DataCode0
Learning to Demodulate from Few Pilots via Offline and Online Meta-LearningCode0
When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text ClassificationCode0
Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms—0
Few-Shot Learning with Global Class RepresentationsCode0
Meta Reasoning over Knowledge Graphs—0
Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction—0
Optimizing quantum heuristics with meta-learning—0
MetaAdvDet: Towards Robust Detection of Evolving Adversarial AttacksCode0
Learning to Generalize to Unseen Tasks with Bilevel Optimization—0
Meta-Learning Improves Lifelong Relation Extraction—0
MeLU: Meta-Learned User Preference Estimator for Cold-Start RecommendationCode0
Few-Shot Meta-Denoising—0
Meta Learning for Task-Driven Video Summarization—0
ROAM: Recurrently Optimizing Tracking Model—0
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference—0
Towards meta-learning for multi-target regression problems—0
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta LearningCode0
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition—0
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition—0
Towards Understanding Generalization in Gradient-Based Meta-Learning—0
Adaptive Prior Selection for Repertoire-based Online Adaptation in RoboticsCode0
Meta-Learning for Black-box Optimization—0
Evolvability ES: Scalable and Direct Optimization of EvolvabilityCode0
Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied to Asteroid Close Proximity Operations—0
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning—0
Few-Shot Representation Learning for Out-Of-Vocabulary WordsCode0
Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision—0
Two-stage Optimization for Machine Learning WorkflowCode0
Difficulty-aware Meta-learning for Rare Disease Diagnosis—0
Learning to Cope with Adversarial Attacks—0
Training an Interactive Helper—0
Meta-learning of textual representationsCode0
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing—0
Meta-learning Pseudo-differential Operators with Deep Neural Networks—0
Learn to Sense: a Meta-learning Based Sensing and Fusion Framework for Wireless Sensor Networks—0
Learning to Forget for Meta-LearningCode0
Meta-Learning via Learned Loss—0
Task Agnostic Continual Learning via Meta Learning—0
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning—0
Few-Shot Learning with Per-Sample Rich Supervision—0
Meta-Learning Neural Bloom Filters—0
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All datasetsML10MT50ML45OMNIGLOT - 1-Shot, 20-way

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-train success rate97.8—Unverified
2MZMeta-train success rate97.6—Unverified
3MAMLMeta-test success rate36—Unverified
4RL^2Meta-test success rate10—Unverified
5DnCMeta-test success rate5.4—Unverified
6PEARLMeta-test success rate0—Unverified
#ModelMetricClaimedVerifiedStatus
1SoftModuleAverage Success Rate60—Unverified
2Multi-task multi-head SACAverage Success Rate35.85—Unverified
3DisCorAverage Success Rate26—Unverified
4NDPAverage Success Rate11—Unverified
#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-test success rate (zero-shot)18.5—Unverified
2MZMeta-test success rate (zero-shot)17.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Metadrop% Test Accuracy95.75—Unverified